Generative Data Intelligence

Tag: alphafold

Mathematicians Break Bounds in Coloring Problem | Quanta Magazine

IntroductionFor decades, a simple question has haunted Máté Matolcsi, a professor at the Budapest University of Technology and Economics. How much of an infinite...

Accelerate protein structure prediction with the ESMFold language model on Amazon SageMaker

Proteins drive many biological processes, such as enzyme activity, molecular transport, and cellular support. The three-dimensional structure of a protein provides insight into its...

Google Brain, protein-folding DeepMind fold into one

Google Brain and DeepMind are merging to form a new unit named, predictably enough, Google DeepMind to accelerate the development of general AI, Alphabet...

Quantum Phase Recognition via Quantum Kernel Methods

Yusen Wu1, Bujiao Wu2, Jingbo Wang1, and Xiao Yuan21Department of Physics, The University of Western Australia, Perth, WA 6009, Australia2Center on Frontiers of Computing...

This Amazing Molecular Syringe Could Smuggle Drugs and Gene Therapies Into Human Cells

A tiny molecular syringe with bizarre origins could overhaul one of the thorniest problems in medicine: getting drugs to their target destinations inside the...

Doing More with Moore: Biotech’s Tech Moment

Eroom’s Law (the backwards Moore) is the often cited, and arguably inaccurate, observation that drug discovery gets slower and more expensive over time. It’s...

The Next Step for AI in Biology Is to Predict How Proteins Behave in the Body

Proteins are often called the building blocks of life.While true, the analogy evokes images of Lego-like pieces snapping together to form intricate but rigid...

Thanks to DALL-E, the Race to Make Artificial Protein Drugs Is On

Remember when predicting protein shapes using AI was the breakthrough of the year?That’s old news. Having solved nearly all protein structures known to biology,...

2022 Was the Year AI Finally Started Living Up to Its Hype

Ever since deep learning burst into the mainstream in 2012, the hype around AI research has often outpaced its reality. Over the past year...

DeepMind spin-off steps up effort to use AI to create new drugs

Alphabet-owned Isomorphic Labs is ramping up its operations by poaching pharmaceutical talent and opening a new office, as the artificial intelligence drug discovery start-up...

A next-gen AI protein folder that could help science? Meta’s good for something

AI researchers at Meta say they have developed the largest protein-folding model of its kind to date, and that it is capable of predicting...

Run inference at scale for OpenFold, a PyTorch-based protein folding ML model, using Amazon EKS

This post was co-written with Sachin Kadyan, a leading developer of OpenFold. In drug discovery, understanding the 3D structure of proteins is key to assessing the ability of a drug to bind to it, directly impacting its efficacy. Predicting the 3D protein form, however, is very complex, challenging, expensive, and time consuming, and can take […]

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